shiyuasuka-twostageclip_swintransformer
This project revolves around creating a simplified transformer-based model for image detection. Our goal is to reduce computational complexity while still achieving high performance. We developed and evaluated two new models, offering a promising foundation for future improvements.
https://github.com/shiyuasuka/shiyuasuka-twostageclip_swintransformer
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.5%) to scientific vocabulary
Repository
This project revolves around creating a simplified transformer-based model for image detection. Our goal is to reduce computational complexity while still achieving high performance. We developed and evaluated two new models, offering a promising foundation for future improvements.
Basic Info
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
shiyuasuka/shiyuasuka-twostageclip_swintransformer
Owner
- Name: shiyuasuka
- Login: shiyuasuka
- Kind: user
- Repositories: 1
- Profile: https://github.com/shiyuasuka
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - name: "MMDetection Contributors" title: "OpenMMLab Detection Toolbox and Benchmark" date-released: 2018-08-22 url: "https://github.com/open-mmlab/mmdetection" license: Apache-2.0
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- albumentations >=0.3.2
- cython *
- numpy *
- docutils ==0.16.0
- myst-parser *
- sphinx ==4.0.2
- sphinx-copybutton *
- sphinx_markdown_tables *
- sphinx_rtd_theme ==0.5.2
- mmcv >=2.0.0rc4,<2.1.0
- mmengine >=0.7.1,<1.0.0
- cityscapesscripts *
- imagecorruptions *
- scikit-learn *
- mmcv >=2.0.0rc4,<2.1.0
- mmengine >=0.7.1,<1.0.0
- scipy *
- torch *
- torchvision *
- matplotlib *
- numpy *
- pycocotools *
- scipy *
- shapely *
- six *
- terminaltables *
- asynctest * test
- cityscapesscripts * test
- codecov * test
- flake8 * test
- imagecorruptions * test
- instaboostfast * test
- interrogate * test
- isort ==4.3.21 test
- kwarray * test
- memory_profiler * test
- onnx ==1.7.0 test
- onnxruntime >=1.8.0 test
- parameterized * test
- protobuf <=3.20.1 test
- psutil * test
- pytest * test
- ubelt * test
- xdoctest >=0.10.0 test
- yapf * test